Quantitative structure-property relationship modelling for predicting retention indices of essential oils based on an improved horse herd optimization algorithm-Reference-Cited by-同舟云学术

Quantitative structure-property relationship modelling for predicting retention indices of essential oils based on an improved horse herd optimization algorithm

Published:2023-10-03 Issue:10 Volume:34 Page:831-846
ISSN:1062-936X
Container-title:SAR and QSAR in Environmental Research
language:en
Short-container-title:SAR and QSAR in Environmental Research

Author:

Alharthi A.M.¹^ORCID,Kadir D.H.²³,Al-Fakih A.M.⁴⁵^ORCID,Algamal Z.Y.⁶^ORCID,Al-Thanoon N.A.⁷,Qasim M.K.⁸

Affiliation:

1. Department of Mathematics, Turabah University College, Taif University, Taif, Saudi Arabia

2. Department of Statistics, College of Administration and Economics, Salahaddin University-Erbil, Erbil, F.R. Iraq

3. Department of Business Administration, Cihan University-Erbil, Erbil, Iraq

4. Department of Chemistry, Faculty of Science, Universiti Teknologi Malaysia, Johor, Malaysia

5. Department of Chemistry, Faculty of Science, Sana’a University, Sana’a, Yemen

6. Department of Statistics and Informatics, University of Mosul, Mosul, Iraq

7. Department of Operations Research and Intelligent Techniques, University of Mosul, Mosul, Iraq

8. Department of General Science, University of Mosul, Mosul, Iraq

Funder

Deanship of Scientific Research, Taif University

Publisher

Informa UK Limited

Subject

Drug Discovery,Molecular Medicine,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/1062936X.2023.2261855

Reference38 articles.

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2. Essential oil composition, total phenolic, flavonoid contents, and antioxidant activity of Thymus species collected from different regions of Iran

3. A sparse QSRR model for predicting retention indices of essential oils based on robust screening approach

4. QSAR models for the fumigant activity prediction of essential oils

5. Chemometric model for predicting retention indices of constituents of essential oils